The demand for EVs in the US has faced challenges, prompting a slowdown in sales growth. Jason Koeller, co-founder of battery startup Chemix, highlighted the critical role of AI in addressing EV battery limitations. Chemix, among other startups and research labs, is harnessing machine-learning algorithms to develop EV batteries with enhanced charging capabilities, extended energy storage, and improved longevity. The startup's AI technology not only aids in faster battery design but also filters out materials linked to human rights concerns, like nickel and cobalt. The integration of AI expedites the battery development process, critical for powering competitive EV models against traditional combustion-engine vehicles. AI streamlines the complex process of EV battery design, identifying optimal material combinations swiftly compared to conventional methods. Collaborations, like PNNL's partnership with Microsoft, showcase how AI can drastically reduce the time and resources involved in discovering efficient battery designs. Through AI's assistance, labs can expedite the exploration and creation of advanced battery materials for future EV innovations.